Analytical methods in statistics : AMISTAT, Prague, November 2015 / Jaromír Antoch, Jana Jurečková, Matúš Maciak, Michal Pešta, editors.
This volume collects authoritative contributions on analytical methods and mathematical statistics. The methods presented include resampling techniques; the minimization of divergence; estimation theory and regression, eventually under shape or other constraints or long memory; and iterative approxi...
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| Online Access: |
Full Text (via Springer) |
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| Corporate Author: | |
| Other Authors: | , , , |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2017.
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| Series: | Springer proceedings in mathematics & statistics ;
v. 193. |
| Subjects: |
| Summary: | This volume collects authoritative contributions on analytical methods and mathematical statistics. The methods presented include resampling techniques; the minimization of divergence; estimation theory and regression, eventually under shape or other constraints or long memory; and iterative approximations when the optimal solution is difficult to achieve. It also investigates probability distributions with respect to their stability, heavy-tailness, Fisher information and other aspects, both asymptotically and non-asymptotically. The book not only presents the latest mathematical and statistical methods and their extensions, but also offers solutions to real-world problems including option pricing. The selected, peer-reviewed contributions were originally presented at the workshop on Analytical Methods in Statistics, AMISTAT 2015, held in Prague, Czech Republic, November 10-13, 2015. |
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| Physical Description: | 1 online resource. |
| ISBN: | 9783319513133 3319513133 |
| ISSN: | 2194-1009 ; |
| Source of Description, Etc. Note: | Source of description: Online resource; title from PDF title page (SpringerLink, viewed February 7, 2017) |